• 102 Citations
  • 7 h-Index
20162020

Research output per year

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Research Output

2020

Confirmatory composite analysis using partial least squares: Setting the record straight

Schuberth, F., 29 Jul 2020, In : Review of managerial science.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
2 Downloads (Pure)

cSEM: Composite-Based Structural Equation Modeling

Rademaker, M. & Schuberth, F., 2020

Research output: Non-textual formSoftwareAcademic

How to perform and report an impactful analysis using partial least squares? Guidelines for confirmatory and explanatory IS research

Benitez Amado, J., Henseler, J., Castillo, A. & Schuberth, F., Mar 2020, In : Information and management. 57, 2, 103168.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
20 Citations (Scopus)
119 Downloads (Pure)

Using Confirmatory Composite Analysis to Assess Emergent Variables in Business Research

Henseler, J. & Schuberth, F., 2020, (Submitted) In : Journal of business research.

Research output: Contribution to journalArticleAcademicpeer-review

2019

A prediction method for ordinal consistent partial least squares

Cantaluppi, G. & Schuberth, F., 2019, (Accepted/In press) Smart Statistics for Smart Applications: Book of Short Papers SIS2019. Arbia, G., Peluso, S., Pini, A. & Rivellini, G. (eds.). Pearson

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

A test for multigroup comparison using partial least squares path modeling

Klesel, M., Schuberth, F., Henseler, J. & Niehaves, B., Jan 2019, In : Internet research. 29, 3, p. 464-477 IntR-11-2017-0418.

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Auxiliary theory for concepts of design research using emergent variables

Schuberth, F., 2019.

Research output: Contribution to conferenceAbstract

cSEM: A package for composite-based SEM

Rademaker, M. & Schuberth, F., 2019.

Research output: Contribution to conferenceAbstract

Investigating the effects of tourist engagement on satisfaction and loyalty

Rasoolimanesh, S. M., Noor, S. M., Schuberth, F. & Jaafar, M., 11 Jun 2019, In : Service industries journal. 39, 7-8, p. 559-574 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
15 Citations (Scopus)

Measurement error correlation within blocks of indicators in consistent partial least squares: Issues and remedies

Rademaker, M., Schuberth, F. & Dijkstra, T. K., 2019, In : Internet research. 29, 3, p. 448-463

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
2 Citations (Scopus)
39 Downloads (Pure)

Robust Partial Least Squares Path Modeling

Schamberger, T. S., Schuberth, F., Henseler, J. & Dijkstra, T. K., 19 Jul 2019, In : Behaviormetrika. 28 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
26 Downloads (Pure)

Sneaking the dark side of brand engagement into Instagram: The dual theory of passion

Okazaki, S., Schuberth, F., Tagashira, T. & Andrade, V., 2019, (Accepted/In press) In : Journal of business research.

Research output: Contribution to journalArticleAcademicpeer-review

2018

Assessing statistical differences between parameters estimates in Partial Least Squares path modeling

Rodriguez-Entrena, M., Schuberth, F. & Gelhard, C., 2018, In : Quality and quantity. 52, 1, p. 57-69 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
11 Citations (Scopus)
53 Downloads (Pure)

Confirmatory Composite Analysis

Schuberth, F., Henseler, J. & Dijkstra, T. K., 13 Dec 2018, In : Frontiers in psychology. 9, DEC, 14 p., 02541.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
12 Citations (Scopus)
26 Downloads (Pure)

Confirmatory Composite Analysis

Schuberth, F., Henseler, J. & Dijkstra, T. K., 16 Mar 2018.

Research output: Contribution to conferenceAbstract

Open Access
File
158 Downloads (Pure)

New guidelines for the use of PLS path modeling in hospitality, travel and tourism research

Henseler, J., Müller, T. & Schuberth, F., 14 Dec 2018, Application of partial least squares : Structural equation modeling (PLS-SEM) in tourism and hospitality research. Ali, F., Rasoolimanesh, S. M. & Cobanoglu, C. (eds.). Emerald

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Partial least squares path modeling using ordinal categorical indicators

Schuberth, F., Henseler, J. & Dijkstra, T. K., 2018, In : Quality and quantity. 52, 1, p. 9-35 27 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
82 Downloads (Pure)

PLS path modeling: A confirmatory approach to study tourism technology and tourist behavior

Müller, T., Schuberth, F. & Henseler, J., 2018, In : Journal of Hospitality and Tourism Technology. p. 249-266 18 p., JHTT-09-2017-0106.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
10 Citations (Scopus)
57 Downloads (Pure)

Testing design-oriented auxiliary theories using PLS path modeling

Schuberth, F. & Henseler, J., 2018.

Research output: Contribution to conferencePaper

The effects of person-related and environmental factors on consumers' decision-making in agri-food markets: the case of olive oils

Salazar-Ordóñez, M., Schuberth, F., Cabrera, E. R., Arriaza, M. & Rodriguez-Entrena, M., Oct 2018, In : Food Research International. 112, p. 412-424 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
3 Citations (Scopus)
56 Downloads (Pure)
2017

A theory on the role of information technology in value creation from open innovation

Benitez, J., Castillo, A. & Schuberth, F., 2017.

Research output: Contribution to conferencePaper

Composite-based Methods in Structural Equation Modeling

Schuberth, F., 2017

Research output: ThesisPhD Thesis - Research external, graduation external

Open Access
File
74 Downloads (Pure)

Ordinal Consistent Partial Least Squares

Schuberth, F. & Cantaluppi, G., 2017, Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications. Latan, H. & Noonan, R. (eds.). Springer, p. 109-150 42 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)

Polynomial factor models: non-iterative estimation via method-of-moments

Schuberth, F., Büchner, R., Schermelleh-Engel, K. & Dijkstra, T. K., 17 Mar 2017.

Research output: Contribution to conferenceAbstract

2016

Partial least squares path modeling using ordinal categorical indicators

Schuberth, F., Henseler, J. & Dijkstra, T. K., 7 Apr 2016, p. -.

Research output: Contribution to conferenceAbstract

20 Citations (Scopus)